Which three statements are true regarding sharing inheritance? Choose 3 answers
A. If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the "View All Data" permission, sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.
B. Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use other objects, such as Idea or Site, you must use security predicates for those objects.
C. A dataset using sharing must also have a security predicate defined.
D. Sharing inheritance supports a foreign key for enforcing security.
E. When sharing inheritance is enabled, security predicates are ignored.
Can you share dashboards with others in your org?
A. Click on the "Share" icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.
B. Click on the "Share" icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot
C. No, you can't share dashboards.
D. Click on the "Share" icon on the dataset.
The Einstein Analytics team at a company created a clataset based on the
Opportunity__c custom object. The VP of Sales reports seeing the message "No
results found" when opening the dataset to explore it. Other users below the VP in the role hierarchy can see rows on the same dataset. Which two problems might be causing this issue?
A. The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object
B. The Security Predicates set up at the dataset level are preventing the VP from seeing data
C. The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows
D. The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?
A. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
B. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
C. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
D. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
Universal Containers has a dashboard for Sales Managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. An Einstein Consultant created a static step to display three values: ClosedDate_month, ClosedDate_quarter, and ClosedDate_year.
What should the consultant do next?
A. Use nested binding to update the grouping in the chart.
B. Use selection binding to update the measure in the chart.
C. Use result binding to update the measure in the chart.
D. Use selection binding to update the grouping in the chart.
Why is it important to prepare the data in a CSV file before you bring it into Analytics?
A. To remove column headers
B. To make sure the content is interesting
C. To add currency symbols to numeric fields
D. To make sure Analytics can set the field type correctly
The client is trying to create a SAQL step to predict sales in each sales region. They cannot get the query to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.
Which timeseries statement will fix the query?
A. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
B. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');
C. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);
D. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');
An Einstein consultant created a dashboard that went through review. Some few charts were added and removed in the process. The dashboard is now approved for production.
Which best practice should be done before releasing the dashboard?
A. Modify the XMD so all labels and values are user-friendly.
B. Rename all the steps to correspond with the defined naming convention.
C. Remove the redundant steps to ensure dashboard performance.
D. Apply conditional formatting on the new charts.
An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?
A. Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
B. Use the XMD node in the dataflow to customize the number format of the field.
C. Customize the number format in the number widget properties of the dashboard.
D. In Explorer, go to the Fields menu and then customize the number format of the measure.
Number of queries per user per day
A. 10,000
B. 50,000
C. 1,000
D. 20,000
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